Toward a Framework of Leader Character in Organizations
Bibliographic record
Abstract
Abstract While the construct of character is well grounded in philosophy, ethics, and more recently psychology, it lags in acceptance and legitimacy within management research and mainstream practice. Our research seeks to remedy this through four contributions. First, we offer a framework of leader character that provides rigor through a three‐phase, multi‐method approach involving 1817 leaders, and relevance by using an engaged scholarship epistemology to validate the framework with practicing leaders. This framework highlights the theoretical underpinnings of the leader character model and articulates the character dimensions and elements that operate in concert to promote effective leadership. Second, we bring leader character into mainstream management research, extending the traditional competency and interpersonal focus on leadership to embrace the foundational component of leader character. In doing this, we articulate how leader character complements and strengthens several existing theories of leadership. Third, we extend the virtues‐based approach to ethical decision making to the broader domain of judgement and decision making in support of pursuing individual and organization effectiveness. Finally, we offer promising directions for future research on leader character that will also serve the larger domain of leadership research.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.018 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".